# langgraph-crewai-mcp-orchestrator

> langgraph-crewai-mcp-orchestrator — sathyalog-langgraph-crewai-mcp-orchestrator. Use this tool when you need to orchestrate multi-agent systems in a production-grade environment, solving complex problems that require deterministic control and agent reasoning. It takes in git-managed codebases and outputs orchestrated agent interactions via HTTP/SSE, providing a scalable and managed architecture. Ideal for use cases that demand end-to-end management of distributed systems, such as large-scale automation and coordination tasks.

Canonical page: https://skillsregistry.net/skills/sathyalog-langgraph-crewai-mcp-orchestrator  
JSON: https://api.skillsregistry.net/v1/skills/sathyalog-langgraph-crewai-mcp-orchestrator

## Description

A production-grade monorepo architecture demonstrating multi-agent system orchestration. Uses LangGraph as the deterministic control plane, CrewAI for agent reasoning, and FastMCP to expose tools over HTTP/SSE via OpenRouter. Managed end-to-end with uv.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/sathyalog/langgraph-crewai-mcp-orchestrator)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "sathyalog-langgraph-crewai-mcp-orchestrator"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sathyalog-langgraph-crewai-mcp-orchestrator` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sathyalog-langgraph-crewai-mcp-orchestrator/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt